Syllable-based probabilistic morphological analysis model of Korean

Do Gil Lee, Hae-Chang Rim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a syllable-based probabilistic morphological analysis model of Korean. While the previous morphological analyzers that regard morpheme as a processing unit, the model exploits syllable as a processing unit in order to endure the unknown word problem. Actually, it does not use any morpheme dictionary. In contract to the previous systems that depend on manually constructed linguistic knowledge, the proposed system can fully automatically acquire the linguistic knowledge from annotated corpora. Besides, without any modification, the system can be applied to other corpus having a different tagset and annotation guidelines. We describe the model and present experimental results on two corpora.

Original languageEnglish
Title of host publication8th International Conference on Spoken Language Processing, ICSLP 2004
PublisherInternational Speech Communication Association
Pages2213-2216
Number of pages4
Publication statusPublished - 2004
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: 2004 Oct 42004 Oct 8

Other

Other8th International Conference on Spoken Language Processing, ICSLP 2004
CountryKorea, Republic of
CityJeju, Jeju Island
Period04/10/404/10/8

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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    Lee, D. G., & Rim, H-C. (2004). Syllable-based probabilistic morphological analysis model of Korean. In 8th International Conference on Spoken Language Processing, ICSLP 2004 (pp. 2213-2216). International Speech Communication Association.